kotlin programming analysis

How to reduce the overhead? 1. Look into GC tuning / optimizations. ▫ We had to bring down allocations, or tune ...

resources.jetbrains.com·9.9 MB

Performance metrics we need to set up: Queue lengths, cache hits and misses, open connections, execution time of specific functions. ○ Business metrics we need ...

resources.jetbrains.com·4.3 MB

... tuning delays and backoff. Parameter. Default value. Description. initialDelay ... performance. Example Log4j 2 logging configuration. While any SLF4J ...

docs.aws.amazon.com·4.1 MB

static code analyzer for Kotlin. 14.04.2023. Page 3. Margarita Nedzelska. Software Engineer. Conferences speaker & organizer. Java/Kotlin/Scala/TS/.

resources.jetbrains.com·2.6 MB

Kotlin is meant to be expressive and concise, relying less on boilerplate code to program. Its inclusion of. @Nullable and @NonNull types helps avoid ...

www.kiuwan.com·1.8 MB

Statically typed languages offer numerous benefits to developers, such as improved code qual- ity and reduced runtime errors, but they also ...

par.nsf.gov·1.5 MB

Bit 0 for encryption. ▫ Bit 3 for data descriptors. ▫ Bit 11 for stating that names are encoded in UTF-8. • Why it works: the Android Package Manager ignores ...

sweet.ua.pt·1.4 MB

Source code metrics are used to measure and evaluate the code quality of software projects. Met- rics are available for both Object-Oriented Programming ...

research.infosupport.com·1.4 MB

Static Analysis Tools for Kotlin. Marvin Ramin. Page 2. Static Analysis. Page 3 ... Static Analysis suite finished. Found 8572 issues. Page 41. Using Static ...

resources.jetbrains.com·886.2 KB

However, due to Kotlin's relative novelty, there are limited tools available for computing traditional maintainability metrics for Kotlin code.

iris.polito.it·852.4 KB

CodeMR is a static code analyser for Java, Kotlin and Scala projects. ... CodeMR visualizes code metrics and high level quality attributes (coupling, complexity,.

www.ida.liu.se·621.0 KB

We collected a dataset of 4,947 repositories across vari- ous programming languages to evaluate Omega Analyzer's performance. – (Study.) We performed the first ...

purs3lab.github.io·577.8 KB

For some types of analyses, it is important which boolean conditions hold on a control flow path. We use special assume nodes to introduce these conditions.

kotlinlang.org·566.1 KB

Okay, maybe that's a bit extreme—but with an adjustable number of iterations, we can tune it later to find the right balance between performance and security.

media.pragprog.com·555.3 KB

Performance analysis requires to collect metrics such as method execution times. For JVM bytecode, this is typically achieved through load-time code instrumen-.

ssw.jku.at·417.1 KB

To overcome these challenges, this work introduces the KIRHelperKit, a utility library simplifying IR plu- gin development. Our contributions are: (1) a struc-.

www.performance-symposium.org·302.7 KB

Knowing the easy interoperability with Java and that 86% of Kotlin users are still programming ... Software Analysis, Evolution and Reengineering (SANER).

geoffreyhecht.github.io·299.2 KB

For completeness, we used the official. Kotlin documentation [14] and created a micro benchmark with 294 simple Kotlin programs and 135 simple ...

arxiv.org·227.2 KB

Abstract—In this technical report, we present three novel datasets of Kotlin code: KStack, KStack-clean, and KExercises.

arxiv.org·188.8 KB

The purpose of this article is to review the process of optimizing the performance of Android mobile applications using Android Studio and SDK. ... Using Kotlin ...

ijses.com·178.1 KB